UX Analyst
π Job Overview
Job Title: UX Analyst
Company: Pulse Labs AI, Inc.
Location: Canada
Job Type: FULL_TIME
Category: UX Research & Analytics
Date Posted: May 06, 2026
Experience Level: 2-5 Years
Remote Status: Fully Remote
π Role Summary
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Drive the execution of qualitative research projects, including diary studies, focus groups, and longitudinal panel studies, ensuring rigorous adherence to research methodologies.
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Analyze rich video and survey data using proprietary Pulse Labs tools to interpret user interactions and perceptions of next-generation products.
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Collaborate closely with UX researchers and operations teams to manage research timelines, data integrity, and project artifacts.
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Develop compelling data visualizations and client-ready deliverables that clearly communicate key research findings and actionable recommendations.
π Enhancement Note: This role blends deep analytical responsibilities with critical operational support for UX research initiatives. The emphasis on proprietary tools and rapid-response environments suggests a need for adaptability and a strong grasp of both qualitative research principles and efficient operational execution.
π Primary Responsibilities
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Execute qualitative research projects (diary studies, focus groups, IDIs, longitudinal panel studies) by working closely with UX researchers to understand project goals, customer requirements, and analysis plans.
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Assist project teams with logistical operations, including maintaining research timelines, project schedules, question banks, and data repositories to ensure smooth project flow.
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Collaborate with the operations team to validate that collected data accurately matches study requirements, upholding data integrity throughout the research lifecycle.
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Support the development of sound research methods, contributing to initial project plans, conducting analyses, and preparing final client reports.
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Analyze participant responses from videos, transcripts, surveys, and other study data to extract key research findings and formulate actionable recommendations for clients.
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Create high-quality client deliverables, such as scorecards, toplines, detailed reports, and slide decks, under the guidance of senior UX researchers.
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Develop clear and effective data visualizations that communicate complex data and findings concisely to various stakeholders.
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Contribute to continuous improvement by collaborating with internal teams to refine and optimize existing processes and workflows.
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Provide valuable feedback to the Design and Engineering teams to enhance the functionality and user experience of Pulse Labs' proprietary platform.
π Enhancement Note: The responsibilities highlight a dual focus on both the execution of research tasks and the operational support required to ensure successful project delivery. The emphasis on "rapid-response environment" and "ambiguous environment" suggests a need for proactive problem-solving and efficient workflow management.
π Skills & Qualifications
Education:
- Bachelor's degree in Psychology, Research Methods, Survey Methodology, Human-Computer Interaction (HCI), Sociology, or a closely related field is required.
Experience:
- Minimum of 2 years of experience working as an analyst in a dedicated research setting or a detail-oriented operations environment.
Required Skills:
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Expertise in qualitative data collection, analysis, and interpretation, with a keen ability to identify patterns and anomalies.
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Proficiency in developing compelling data visualizations that effectively communicate insights and findings.
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Strong written and verbal communication skills, essential for client interactions and internal reporting.
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High attention to detail, critical for maintaining data accuracy and identifying subtle trends.
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Proven ability to collaborate effectively within a team of researchers and alongside operations personnel in fast-paced, evolving environments.
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Comfort and adaptability in utilizing emerging technologies and various software systems.
Preferred Skills:
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Prior experience in a consulting capacity, conducting research for commercial clients.
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Previous exposure to early-to-mid stage startups or established tech companies (e.g., FAANG).
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Experience with specific UX research methodologies such as diary studies, focus groups, or longitudinal panels.
π Enhancement Note: The qualifications emphasize a blend of analytical rigor, operational execution, and collaborative soft skills. The preference for experience in consulting or startup environments suggests a need for candidates who are adaptable, client-focused, and comfortable with ambiguity.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Demonstrate a track record of successfully executing and analyzing qualitative research projects, showcasing a deep understanding of the UX research lifecycle.
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Include examples of data analysis and interpretation, highlighting your ability to derive actionable insights from user data (video, transcripts, surveys).
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Showcase your proficiency in creating data visualizations and client-ready deliverables (reports, slide decks, scorecards) that effectively communicate findings.
Process Documentation:
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Illustrate your understanding of research project logistics, including how you've managed timelines, maintained data repositories, and ensured data integrity.
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Present examples of how you've contributed to initial project plans and assisted in the execution of analyses.
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Detail your approach to gathering feedback and providing recommendations for improving proprietary platforms or internal processes.
π Enhancement Note: Candidates should prepare a portfolio that not only showcases analytical outputs but also demonstrates their operational capabilities in managing research projects and contributing to process improvements within a tech-driven environment.
π΅ Compensation & Benefits
Salary Range:
Benefits:
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Comprehensive health, dental, and vision insurance plans.
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Generous paid time off (PTO) including vacation, sick leave, and public holidays.
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Opportunities for professional development, including access to training, conferences, and certifications.
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Remote work stipend to support home office setup and ongoing expenses.
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Potential for performance-based bonuses and stock options.
Working Hours:
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Standard full-time working hours are expected, typically around 40 hours per week.
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Flexibility may be offered to accommodate different time zones within Canada and support work-life balance, though responsiveness during core business hours is appreciated.
π Enhancement Note: Salary estimation is based on aggregated data from Canadian job boards and industry salary benchmarks for UX Analysts with comparable experience levels and responsibilities. Benefits are typical for full-time roles in Canadian tech companies, emphasizing professional growth and well-being.
π― Team & Company Context
π’ Company Culture
Industry: AI and Technology, specifically focusing on user experience research for next-generation products. Pulse Labs AI leverages AI to analyze user interactions, providing deep insights into product perception and usability.
Company Size: The company likely operates as a small to medium-sized business (SMB) or a growing startup, given the context of "fast-paced multi-project environment" and "early-to-mid stage startups" in preferred qualifications. This size often fosters a collaborative, agile, and hands-on culture.
Founded: Pulse Labs AI, Inc. is a modern tech company, likely founded within the last decade, focused on leveraging AI for advanced user research. This implies a culture of innovation, data-driven decision-making, and a forward-thinking approach to product development.
Team Structure:
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The operations team is likely integrated closely with the research team, facilitating seamless project execution and data management.
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Analysts will report to a UX Research Lead or Manager, working within a structure that values cross-functional collaboration between research, operations, design, and engineering.
Methodology:
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Data Analysis & Insights: Employs AI-driven tools and rigorous analytical methods to interpret qualitative and quantitative user data, uncovering nuanced insights into user behavior and perceptions.
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Workflow Planning & Optimization: Focuses on efficient project management and process refinement to support a fast-paced research environment, ensuring timely and high-quality deliverables.
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Automation & Efficiency: Utilizes proprietary platforms and tools to automate data collection and analysis where possible, enhancing efficiency and allowing analysts to focus on interpretation and strategic recommendations.
Company Website: https://pulselabs.ai/
π Enhancement Note: The company's focus on AI for UX research suggests a culture that is tech-forward, data-centric, and values innovation. The SMB/startup context implies a dynamic, hands-on work environment where individual contributions have significant impact.
π Career & Growth Analysis
Operations Career Level: This role is positioned as an Analyst, typically an entry-to-mid-level position (2-5 years of experience). It serves as a foundational role for individuals passionate about user experience, data analysis, and the operational aspects of research. It requires a strong understanding of research methodologies and the ability to execute tasks with precision.
Reporting Structure: The UX Analyst will likely report to a Senior UX Researcher, a UX Research Manager, or potentially a Head of Operations or Research Operations. The reporting lines will reflect a direct contribution to research project success and operational efficiency.
Operations Impact: The UX Analyst's work directly influences product development by providing critical insights into user needs and perceptions. Their rigorous analysis and clear communication of findings help product teams make informed decisions, leading to improved user experiences, increased product adoption, and ultimately, enhanced business outcomes and revenue.
Growth Opportunities:
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Specialization Path: Advance to a Senior UX Analyst or UX Researcher role, taking on more complex projects and greater client-facing responsibilities.
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Skill Development: Deepen expertise in specific research methodologies (e.g., longitudinal studies, advanced qualitative analysis techniques) or gain proficiency in new analytical tools and AI applications.
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Leadership Potential: Transition into roles like Research Operations Manager or Team Lead, overseeing project logistics, mentoring junior analysts, and contributing to strategic operational planning.
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Cross-Functional Mobility: Develop skills transferable to product management, data science, or UX design roles within the company or industry.
π Enhancement Note: This role offers a clear path for growth within the specialized field of UX research and operations. The emphasis on proprietary tools and AI integration provides opportunities to develop in-demand, future-forward skills.
π Work Environment
Office Type: This is a fully remote position, allowing employees to work from anywhere within Canada. This setup emphasizes autonomy and flexibility, supported by digital collaboration tools.
Office Location(s): While fully remote, the company operates within Canada, suggesting a need for employees to be legally authorized to work in Canada and potentially reside within a specific Canadian province for payroll or legal compliance. Collaboration will occur across various Canadian time zones.
Workspace Context:
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Collaborative Environment: Primarily digital collaboration through video conferencing, instant messaging, and shared document platforms, fostering a connected remote team experience.
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Tools & Technology: Access to Pulse Labs' proprietary research and analysis platforms, alongside standard productivity tools (Google Workspace). This environment encourages tech-savviness and adaptability.
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Team Interaction: Regular team meetings, project sync-ups, and virtual social events are likely utilized to maintain team cohesion, facilitate knowledge sharing, and support a positive remote work culture.
Work Schedule: The role requires a standard full-time commitment (approx. 40 hours/week). While remote work offers flexibility, adherence to project deadlines and availability for key meetings are essential, requiring effective time management and self-discipline.
π Enhancement Note: The fully remote nature of this role requires strong self-discipline and communication skills. Candidates should be comfortable working independently while actively engaging with team members through digital channels.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A brief call to assess basic qualifications, interest in the role, and alignment with remote work expectations.
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Technical Interview: A deeper dive into your UX research experience, data analysis skills, and understanding of qualitative research methodologies. You may be asked to discuss specific projects and your analytical approach.
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Portfolio Review/Case Study: Present a selection of your past work, focusing on how you've analyzed data, developed insights, created deliverables, and managed research operations. Be prepared to walk through a specific case study demonstrating your impact.
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Team/Culture Fit Interview: An opportunity to meet with potential team members and discuss collaboration, problem-solving approaches, and how you contribute to a positive work environment.
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Final Interview: May involve a discussion with a senior leader to confirm fit and discuss overall career aspirations.
Portfolio Review Tips:
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Curate Strategically: Select 2-3 projects that best showcase your analytical depth, operational efficiency, and ability to translate data into actionable recommendations for clients.
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Focus on Impact: For each project, clearly articulate the problem, your role, the methodology used, the key findings, and the ultimate impact or recommendation. Quantify results where possible.
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Highlight Operations: Emphasize your role in managing project logistics, ensuring data integrity, and collaborating with operations or research teams.
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Showcase Deliverables: Include examples of reports, slide decks, or data visualizations that demonstrate your communication and presentation skills.
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Be Ready to Discuss: Prepare to discuss your thought process, challenges faced, and how you overcame them.
Challenge Preparation:
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Be ready for scenario-based questions regarding research project execution, data analysis challenges, or how you would handle ambiguous requests.
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Practice articulating your problem-solving approach using frameworks like STAR (Situation, Task, Action, Result) for behavioral questions.
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Familiarize yourself with common UX research methods and analytical techniques, as you may be asked to explain them or apply them hypothetically.
π Enhancement Note: The interview process is designed to assess both your technical skills in UX analysis and operations, as well as your ability to integrate into a remote, fast-paced team. A strong, well-curated portfolio is crucial for demonstrating your capabilities.
π Tools & Technology Stack
Primary Tools:
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Pulse Labs Proprietary Platform: Essential to be comfortable learning and utilizing company-specific tools for data collection, analysis, and reporting.
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Google Workspace: High proficiency required in Google Docs for documentation, Google Sheets for data manipulation and analysis, and Google Slides for report creation.
Analytics & Reporting:
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Data Visualization Tools: Experience with creating clear and impactful charts, graphs, and dashboards (e.g., within Google Sheets, or familiarity with tools like Tableau, Power BI, Looker is a plus).
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Qualitative Data Analysis Software: Familiarity with tools for analyzing transcripts and video data (e.g., NVivo, Dovetail, or similar) is beneficial, though Pulse Labs' proprietary tools will be primary.
CRM & Automation:
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While not explicitly a CRM role, understanding how research data feeds into product development and potentially customer success workflows is advantageous.
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Familiarity with project management tools (e.g., Asana, Trello, Jira) is helpful for managing research timelines and tasks.
π Enhancement Note: Proficiency in Google Workspace is a baseline requirement. The primary focus will be on adapting to and mastering Pulse Labs' proprietary tools, demonstrating a strong capacity for learning new technologies quickly.
π₯ Team Culture & Values
Operations Values:
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Rigor and Quality: A commitment to meticulous data analysis, sound research methods, and delivering high-quality, accurate insights.
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Collaboration: A strong emphasis on teamwork, open communication, and supporting colleagues across research, operations, design, and engineering.
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Adaptability: Embracing a fast-paced, dynamic environment where priorities can shift, requiring flexibility and a proactive approach to problem-solving.
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Data-Driven Decision Making: Valuing insights derived from user data to inform product strategy and development.
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Continuous Improvement: A mindset focused on refining processes, learning new skills, and contributing to the overall efficiency and effectiveness of the team.
Collaboration Style:
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Cross-Functional Integration: Actively engaging with UX researchers, designers, and engineers to ensure research findings are understood and actionable.
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Feedback Exchange: A culture that encourages constructive feedback on research processes, deliverables, and platform improvements.
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Knowledge Sharing: Proactively sharing insights, best practices, and learnings with team members to foster collective growth and expertise.
π Enhancement Note: The culture likely values a blend of meticulous analytical work and agile execution. Success in this role requires not only strong technical skills but also the ability to thrive in a collaborative, fast-paced, and evolving environment.
β‘ Challenges & Growth Opportunities
Challenges:
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Rapid-Response Environment: Adapting to tight deadlines and potentially shifting project priorities while maintaining a high standard of work.
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Ambiguity in Data: Interpreting complex or incomplete qualitative data to derive clear, actionable insights.
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Mastering Proprietary Tools: Quickly becoming proficient with Pulse Labs' unique technology stack to maximize efficiency and analytical capabilities.
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Balancing Analysis and Operations: Effectively managing both detailed data analysis and the logistical aspects of research programs.
Learning & Development Opportunities:
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Advanced UX Research Techniques: Deepen expertise in specific qualitative methodologies through hands-on experience and internal training.
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AI in Research: Gain exposure to how AI is applied in user experience research, enhancing analytical capabilities and understanding future trends.
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Data Visualization Mastery: Develop advanced skills in presenting complex data in clear, compelling visual formats.
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Industry Exposure: Work with cutting-edge products and diverse clients, understanding various market needs and user behaviors.
π Enhancement Note: The challenges presented are typical of fast-growing tech companies and offer significant opportunities for professional development. Candidates who are proactive learners and enjoy tackling complex problems will find this role rewarding.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you had to analyze a large volume of qualitative data under a tight deadline. What was your process, and what were the key challenges?" (Focus on process, efficiency, and problem-solving).
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"How do you ensure the accuracy and integrity of data when working with research participants' responses, especially in a remote setting?" (Highlight attention to detail, operational checks).
Company & Culture Questions:
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"What interests you about Pulse Labs AI and our approach to UX research using AI?" (Research the companyβs mission, tech, and recent news).
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"How do you contribute to a collaborative team environment, particularly in a remote setting?" (Provide examples of communication, support, and knowledge sharing).
Portfolio Presentation Strategy:
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Structure Your Narrative: For each project, clearly outline the objective, your role, the methodology, your analysis process, key findings, and the impact.
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Emphasize Operations: Specifically call out how you managed project logistics, ensured data quality, and collaborated with others.
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Showcase Deliverables: Present clean, well-designed examples of reports, scorecards, or visualizations. Be ready to explain the rationale behind your design choices.
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Quantify Impact: Wherever possible, use metrics to demonstrate the value of your work, even if it's about efficiency gains or clarity of insights.
π Enhancement Note: Prepare to discuss your experience with both the analytical and operational aspects of UX research. Demonstrating your ability to learn new tools and thrive in a fast-paced, collaborative remote environment will be key.
π Application Steps
To apply for this operations position:
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Submit your application through the provided Workable link.
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Tailor Your Resume: Highlight experience in qualitative data analysis, UX research methodologies, operational support for research projects, and proficiency with tools like Google Workspace. Use keywords from the job description.
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Prepare Your Portfolio: Select 2-3 impactful projects that showcase your analytical skills, operational contributions, and ability to create clear deliverables. Ensure it's easily accessible (e.g., a shared drive link or personal website).
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Practice Your Pitch: Be ready to concisely articulate your experience and how it aligns with the role's requirements, especially regarding data analysis, operational support, and remote collaboration.
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Research Pulse Labs AI: Understand their mission, technology, and the types of products they support to better tailor your responses and demonstrate genuine interest.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires 2+ years of experience as an analyst in a research or operations setting with a strong understanding of the UX research lifecycle. A bachelor's degree in psychology, HCI, sociology, or a related field is required.